Energy efficiency of outage constrained two-tier heterogeneous cellular networks
Bibliographic record
Abstract
In this paper, the energy efficiency (EE) of a 2-tier cellular network subject to downlink transmission outage probability constraints is analyzed under a shared spectrum scenario. The heterogeneous network considered consists of randomly distributed microcell BSs overlaid with picocell BSs. Based on the analysis of the structure of the EE function, the sufficient condition that enables the EE of the 2-tier network to exceed that of a single tier network is determined. The operational bounds for the network in terms of the pico tier BS density is derived by analytically solving the optimization problem that maximizes the outage constrained 2-tier EE. The Lagrange multipliers attributed to the outage constraints, which quantify the marginal loss in the EE performance, are found to be strongly dependent on the power consumption parameters of both the micro and pico tier BSs. The implication of the findings is that, by carefully tuning the BS power consumption parameters, it is possible to realize significant improvement in the EE performance for different operational scenarios while satisfying the outage probability objectives.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".